By partitioning the data matrix into groups and assuming partial exchangeability, we can build a hierarchical model for all the groups. In a hierarchical model, the measurements in each group are exchangeable within a corresponding sub-model and the parameters of the sub-models are exchangeable in their prior distribution [1]}.
